Thus, irrespective of its biological validity or
interpretation, the Second Event theory does not predict
the degree of double-event risk enhancement that has
been claimed. Even using the conservative assumption
that 90Sr resides within and around cells
and not in the bone matrix, the additional probability per
cell per year of such a double-event from correlated
90Sr--90Y decays at an annual
dose of 1 mGy is very low (~ 3 x 10-5). The total
probability of these double events (1.4 x 10-4) is
comparable to that resulting from an annual dose from
natural background gamma-rays (taken to include cosmic
rays of 1 mGy (UNSCEAR 1993). Moreover, in practice,
all human 90Sr exposures will be coincident
with those from natural background gamma rays and, at
the very least, the potential effects of this and other
radiation sources on cancer risk need to be included in
epidemiological reasoning.
In his commentaries on epidemiological data, Busby
has expressed specific concern on the under-estimation of
osteosarcomagenic and leukaemogenic risk in regions of
the UK resulting from 90Sr in weapons fall-
out, associating claims of high risks at low doses with his
Second Event Theory (Busby 1995, Bramhall 1997). At
its peak in 1963, the annual 90Sr dose to
bone marrow in the UK population was around 0.3
mGy, approximately 25 - 30% that of natural
background gamma-rays (NRPB 1995). However,
using the reasoning and calculation method given in the
annex, under these circumstances the Second Event
Theory produces a probability of critical correlated
double-events from 90Sr--90Y
decay of 9.24 x 10-6 per cell, that is, only around 10% of
that of biophysically identical random double events (1.1
x 10-4 per cell) arising in the same period from natural
background gamma-rays. Thus in all practical
circumstances of low dose (< 1 mGy) and low dose rate
exposure, the probability of naturally arising random
double-events should dominate over that which is
associated in a correlated fashion with sequential
radionuclide decay. In short, due to computational error,
Busby's theory and his epidemiological claims have been
incorrectly matched.
It is appreciated, however, that the calculations presented
above relate to a specific set of biophysical assumptions
which are open to question. Accordingly, the sensitivity
of conclusions to the major assumptions
made has been investigated (calculations nor shown).
Varying the time interval between events (5 -20 h) and
the associated cell-cycle window size (1 - 2 h) made no
difference to the conclusions. Reducing the target cell
diameter to 5 microns increased the probability of
correlated decays by a factor 2 compared to uncorrelated
decays; this ratio was not dependent upon whether a
whole cell or a cell nucleus of a given size was
considered to be the target. It is judged therefore that the
conclusions reached are acceptably robust.
It is for others to comment upon the epidemiological
data and methods with which Busby justifies his claims
on radiation cancer risk; it is sufficient to say here that,
since it fails to provide the quantitative predictions that
were sought, his biophysical theory adds no substance to
these claims. Indeed, independent of concerns on its
biological validity, a paradoxical feature emerges from
the application of the Second Event Theory in a broad
radiological protection context as indicated below.
In reviewing animal carcinogenesis and other relevant
data UNSCEAR (1993) suggest that the dose and dose-
rate effectiveness factor (DDREF) used for estimating
cancer risk at low doses and dose rates of radiation
"should, on cautious grounds have a low value, probably
no more than 3" (UNSCEAR 1993, p. 687). A similar
position is adopted by ICRP (ICRP 1990) who
recommend a DDREF in respect of cancer risk of 2 for
use in radiological protection. In a general sense, these
views on DDREF accord with conventional judgements
that single event (linear) kinetics, are most appropriate for
estimating low dose cancer risk (see Cox et al.,
1995). By equating the dominant element of radiation
cancer risk with the probability of double-events in single
cells the Second Event Theory predicts that, in the case of
the uncorrelated events from gamma-rays and other low
LET radiations, the dose response for cancer risk would
vary as a quadratic function of dose rate (table 2). This
leads to a value of DDREF that is many orders of
magnitude greater than those given by UNSCEAR (1993)
and ICRP (1990) and would serve to depress estimates of
low dose risk in respect of the random track component
from any radiation source. In this way application of the
Second Event Theory to, for example, internalised
137Cs at low doses and low dose rates
would result in cancer risk estimates that were
dramatically lower than those obtained by the procedures
recommended by ICRP (ICRP 1990). By contrast, for
90Sr, the theory predicts that linear
extrapolation should be used table 3 implying a low
value for DDREF in agreement with current
recommendations. These predictive features of the
Second Event Theory appear to be at odds with Busby's
general claims that cancer risk from low
doses of internal radiations have been seriously
underestimated.
In summary, irrespective of judgements on its biological
plausibility, it is evident that the Second Event Theory
does not predict high relative biological
effectiveness for 90Sr. This conclusion
accords with judgements made on the basis of animal
carcinogenesis data (Moskalev and Strelt'sova 1973;
Lloyd et al. 1994)
Appendix
Calculations based upon the Second Event Theory
For the purposes of making calculations, the critical
biological assumption of the Second Event Theory is
that two events must occur in the same cell separated
by an interval of 10 h within the cell-cycle with a
one hour time window (Busby 1995, Bramhall 1997.
Busby 1998, but see also Goodhead, 1997).
This annex shows the calculation of the fraction of cells
per year, subjected to various gamma-ray dose rates,
that experience such a double-event. It also shows a
similar calculation for a sequential 90Sr--
90Y decay.
Gamma-rays
Figure 1 gives the average dose to a cell from a
single electron track as it varies with photon energy and
cell diameter. These are original calculations based on
Monte Carlo generated electron tracks entering and
created within a sphere of given diameter. It is reasonable
to assume a diameter of 10 microns for a typical cell in agreement with Busby (1998). The
electron spectra are created by monoenergetic photons of
different energy. A typical photon energy of 300 keV
delivers an average of about 1 mGy to a 10 micron
diameter cell per event.
For a dose rate of 1 mGy y-1 every cell will receive 1
event on average each year. The fraction of cells with 0,
1, 2 events etc. is given by the Poisson distribution. The
chance that any two events in a cell are separated by
exactly 10±0.5 h is 2/365/24 = 2.28 x 10-4. The factor
two arises because the order
of the events is not relevant. If there are two events in a
cell there is only one pairing, for three events there are
three pairings, for four events there are six
pairings etc. Thus to calculate the total probability table 1
can be constructed for a dose rate of 1 mGy y-1.
For a gamma ray dose of 1 mGy at a dose rate of 1
mGy y-1, approximately 1 cell in 10,000 will be subject
to a double-event. Similar tables can be
constructed for other dose rates to give results as shown
in (table 2). Note from table 2 the square law increase of
probability with dose rate. Note also that
exactly the same probabilities would arise if the interval
between events were 5 h or 20 h.
90Sr--90Y decays
The half life of 90Y is 64 h so the
probability that the 90Y decay will occur
between 9.5 and 10.5 h after the 90Sr
decay is exp(-9.5/92.33) -exp
(- 10.5/92.33) = 0.00972.
Each 90Sr--90Y decay
produces 1.13 MeV (196 keV from 90Sr +
935 keV from 90Y) on average and,
accordingly, for a dose of 1 mGy there are 5.52 x
106 disintegrations in 1 g. For a 10 micron
diameter cell there are 1.91 x 109 cells per
gram of tissue assuming perfect packing. In this way 2.89
x 10-3 cells per gram will have a
90Sr--90Y decay and 2.81 x
10-5 will have a double-event separated by
10±0.5 h. This leads to the values shown in table 3. Note
from table 3 the linear increase of probability with dose,
independent of dose-rate.
It is also necessary to take account of spatial factors
associated with 90Sr--90Y
decay when calculating double-event probabilities.
Each90Sr--90Y decay
produces two electrons, the maximum track ranges of
which are: 90Sr decay, 2 mm exactly
equivalent to 200 cell diameters: 90Y decay,
15 mm exactly equivalent to 1500 cell diameters. The
solid
angle property of these electron track paths means that
the number of surrounding cells receiving
double-events from a single 90Sr--
90Y decay will be
small. Constraining the decay process to occur within
a single cell implies that, on average, a number of
between one and two cells will be so affected. The
equation given below, similar to that of Busby (1998)
may be used to estimate a value for this number on the
basis of the maximum of 200 cell diameters that
limit the potential for double-event production from a
single decay. The rationale for this formula is as follows.
The central cell containing the single
90Sr--90Y decay always
receives a double hit; in the 16 cells in the first shell
surrounding the central cell the double hit probability is 1/
16; in the 64 cells in
the second shell the double hit probability is 1/64 and so
on up to 200 such shells.
[expression at bottom is "n = 1"]
This calculation indicates that on average about
1.1 cells will receive a correlated double-event from
single 90Sr--90Y decay. This
value is sufficiently
close to 1 .0 that approximations in the above formula
are judged to be unimportant. It should be noted
that, in practice, most of the Sr in the body
is
incorporated into mineral bone (ICRP 1993) and so
does not reside in bone marrow cells or those on
bone surfaces. Thus the factor 1.1 above leads to a
large overestimate of the correlated double-event
probability.
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Busby's reply is
printed in the same issue of IJRB, and reproduced on this site